Director of AI Engineering – Generative AI & Autonomous Systems (10033) Seattle, WA
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Introduction
At our Extreme we create effortless networking experiences that empower people and organizations to advance. We are seeking a Director of AI Engineering to lead the design development and delivery of our next-generation AI-native systems.
This role requires a proven leader who combines technical depth with organizational vision. You will not only set the direction for AI strategy but also ensure that ideas move from research to scalable production-ready deployments. Your leadership will drive the successful launch of enterprise-grade AI solutions that transform network design optimization security and support.
Key Responsibilities
- Define the AI engineering vision and long-term roadmap; ensure alignment with business strategy and customer outcomes.
- Build inspire and scale a world-class AI engineering team cultivating a culture of innovation collaboration and execution.
- Mentor senior engineers and emerging leaders raising the technical and leadership bar across the organization.
- Champion responsible AI practices and set quality standards for reliability ethics and compliance.
- Drive the full lifecycle of AI systems: from research exploration and prototyping through enterprise-scale production launches.
- Ensure seamless integration of AI into core products balancing cutting-edge innovation with pragmatic delivery.
- Establish and enforce best practices for deployment monitoring and lifecycle management of AI systems in production.
- Measure impact and ensure that AI solutions deliver tangible business value.
- Provide architectural direction for scalable AI systems leveraging LLMs multi-agent systems and generative models.
- Guide technical decisions ensuring systems are reliable secure and cloud-native.
- Evaluate emerging technologies and frameworks; make informed adoption decisions that strengthen competitive differentiation.
- Maintain enough hands-on involvement to earn respect from engineers while staying focused on strategic leadership.
- Partner with product management engineering and network experts to define and deliver AI-driven features.
- Communicate strategy progress and impact to executives customers and partners with clarity and influence.
- Represent the company externally as a thought leader in AI contributing to industry forums open-source communities and customer engagements.
Leadership & Vision
End-to-End Productization
Technical Leadership
Cross-Functional & External Influence
Qualifications
- A degree in Computer Science Artificial Intelligence or a related field (or equivalent practical experience).
- Proven leadership track record: 12 years in AI/ML engineering including 5 years in senior leadership roles managing teams and large-scale initiatives.
- End-to-end product launch expertise: Demonstrated success leading AI initiatives from concept through production deployment and adoption at enterprise scale.
- Strategic leadership: Ability to define AI roadmaps prioritize investments and align execution with business outcomes.
- Team builder & mentor: Experience scaling teams developing leaders and creating a culture of technical excellence.
- Technical credibility: Strong foundation in ML/AI with applied expertise in generative AI LLMs RAG or multi-agent systems; able to guide architecture and evaluate tradeoffs.
- Enterprise-scale delivery: Experience integrating AI into production systems with cloud-native architectures (AWS Azure GCP).
- Influence & communication: Exceptional ability to engage executives engineers and customers with clarity and impact.
Nice to Have:
- Experience with AI/LLMOps platforms orchestration frameworks and lifecycle management.
- Domain knowledge in networking SD-WAN or observability.
- Recognized contributions to the AI ecosystem (open-source projects patents or industry thought leadership).
- Partnerships with academia startups or AI vendors to accelerate innovation.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Director
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.
